The offshore wind industry in Europe is looking to move further from shore and increase the size of wind
parks and wind turbines. As of now marine logistics during the operation and maintenance life cycle
phase is, besides wind turbine reliability, the most important limitation for wind turbine service, repair
and replacement, and pose a large risk for wind park operators and owners.

Modelling real workforce choices accurately via Agent Based Models and System Dynamics requires
input data on the actual preferences of individual agents. Often lack of data means that analysts can have
an understanding of how agents move through the system, but not why, and when.

This paper proposes a multi-paradigm modeling framework (MPMF) for modeling and simulating problem situations (problems whose specification is not agreed upon). The MPMF allows for a different set of questions to be addressed from a problem situation than is possible through the use of a single modeling paradigm.

Like most countries, Canada faces rising rates of diabetes and diabetic ESRD, which adversely affect
cost, morbidity/mortality and quality of life. These trends raise great challenges for financial, human
resource and facility planning and place a premium on understanding tradeoffs between different
intervention strategies. We describe here our hybrid simulation model built to inform such efforts.

Workers cross-trained with multiple tasks can improve the workforce flexibility for the plant to handle
variations in workload. Therefore, it is necessary to study the dynamic multi-skilled workforce planning
problem of production line with the application of cross-training method.

Hybrid simulation, the combination of simulation paradigms to address a problem is becoming more popular as the problems we are presented with become more complex. This is evidenced by an increase in the number of hybrid papers published in specific domains and the number of hybrid simulation frameworks being produced across domains.

This paper discusses the development of a simulation model to mimic a return to work phenomenon of Social Security Disability Insurance (SSDI) enrollees in the United States. Agent Based and Bayesian Network methods are used within a multi-method simulation model to capture system conditions and enrollee behavior.

Agent-based modeling (ABM) has gained great popularity in recent years, especially in application areas where human behavior is important, because it opens up the possibility of capturing such behavior in great detail. Hybrid models which combine ABM with discrete-event simulation (DES) are particularly appealing in service industry applications.

All over the world, and in particular in Germany, a trend toward a more sustainable electric energy supply
including energy efficiency and climate protection can be observed. Simulation models can support these
energy transitions by providing beneficial insights for the development of different electricity generation mix
strategies in future electric energy systems.